app.py

import streamlit as st
from transformers import pipeline
import requests
from bs4 import BeautifulSoup

# Initialize a text generation pipeline
generator = pipeline('text-generation', model='dbmdz/german-gpt2')

# Define a function to fetch trending news related to a specific niche
import streamlit as st
from transformers import pipeline
import requests
from bs4 import BeautifulSoup

# Initialize a text generation pipeline
generator = pipeline('text-generation', model='dbmdz/german-gpt2')

def fetch_trending_news(niche):
    url = f"https://www.google.com/search?q={niche}+news&tbs=qdr:d"
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"}
    try:
        response = requests.get(url, headers=headers)
        if response.status_code == 200:
            soup = BeautifulSoup(response.content, "html.parser")
            # Adjusted to use more generic selectors that might be more stable
            news_items = soup.find_all("div", class_="ZINbbc xpd O9g5cc uUPGi")
            if not news_items:
                print("No news items found, check your selectors.")
                return []
            trending_news = [item.find("div", class_="BNeawe vvjwJb AP7Wnd").text for item in news_items[:5]]
            return trending_news
        else:
            print(f"Failed to fetch news, status code: {response.status_code}")
            return []
    except Exception as e:
        print(f"Error fetching news: {e}")
        return []



# Define the pages
def page_trending_niche():
    # Using st.columns to create a two-column layout
    col1, col2 = st.columns([3, 1])
    with col1:
        st.title("What is trending in my niche?")
    with col2:
        st.image('Robot.png', use_column_width=True)
    
    niche = st.text_input('Enter your niche', 'German clinics')
    if st.button('Fetch Trending News'):
        st.write(f"Trending news in {niche}:")
        trending_news = fetch_trending_news(niche)
        print("Trending news:", trending_news)  # Debug print
        for idx, news_item in enumerate(trending_news, start=1):
            st.write(f"{idx}. {news_item}")

# Define the pages
def page_social_media_generator():
    
    # Using st.columns to create a two-column layout
    col1, col2 = st.columns([3, 1])
    with col1:
        st.title("German Medical Content Manager")
    with col2:
        st.image('Content_Creation_Pic.png', use_column_width=True)

    
    input_topic = st.text_input('Enter a medical topic', 'Type 1 Diabetes')
    st.write(f"Creating social media content for: {input_topic}")

    def generate_content(topic):
        generated_text = generator(f"Letzte Nachrichten über {topic}:", max_length=50, num_return_sequences=1)
        return generated_text[0]['generated_text']

    if st.button('Generate Social Media Post'):
        with st.spinner('Generating...'):
            post_content = generate_content(input_topic)
            st.success('Generated Content:')
            st.write(post_content)

    st.write('Generated social media posts will appear here after clicking the "Generate" button.')

def page_test():
    st.title('Test Page')
    st.write('This is a test page with a test name.')

# Setup the sidebar with page selection
st.sidebar.title("Anne's Current Projects :star2:")

page = st.sidebar.selectbox(
    'What project do you like to see first?',
    ('trending_niche', 'Social Media Content Generator', 'Test Page'))


# Display the selected page
if page == 'trending_niche':
    page_trending_niche()
elif page == 'Social Media Content Generator':
    page_social_media_generator()
elif page == 'Test Page':
    page_test()